# GitHub PR Comments

> Use this tool when you need to analyze and review GitHub Pull Request comments within your AI workflow, solving the problem of context switching between GitHub and your development environment. It fetches and structures comment data, including file paths, line ranges, and replies, and accepts repository owner, name, and pull request number as inputs. This tool is ideal for developers who want to integrate PR discussion analysis into their Claude Desktop or Cursor IDE workflows.

Canonical page: https://skillsregistry.net/skills/shaileshahuja-github-pr-comments  
JSON: https://api.skillsregistry.net/v1/skills/shaileshahuja-github-pr-comments

## Description

GitHub PR Comments MCP Server provides a bridge to GitHub's Pull Request system, allowing AI assistants to fetch and analyze PR comments with their associated file paths, line ranges, and replies. Built with TypeScript and the Octokit REST API, this server exposes a 'get_pr_comments' tool that accepts repository owner, name, and pull request number parameters to retrieve structured comment data. The implementation is designed for integration with Claude Desktop and Cursor IDE through Smithery, making it ideal for developers who want to review and analyze PR discussions directly within their AI workflows without switching contexts to GitHub's interface.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shaileshahuja-github-pr-comments)
- **Repository:** <https://github.com/shaileshahuja/github-pr-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shaileshahuja-github-pr-comments"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shaileshahuja-github-pr-comments` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shaileshahuja-github-pr-comments/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt